code: def _squared_relu():
      """
      Add the [option](https://docs.labml.ai/api/configs.html#labml.configs.option)
       of [**squared ReLU**](index.html) to [configurable](../configs.html#FFN)
       [feed forward module](../feed_forward.html).
      """
      return SquaredReLU()
  
file_path: annotated_deep_learning_paper_implementations/labml_nn/transformers/primer_ez/experiment.py
imports: from labml import experiment
  from labml.configs import option
  from labml_nn.transformers import TransformerConfigs
  from labml_nn.transformers.basic.autoregressive_experiment import Configs
  from labml_nn.transformers.configs import FeedForwardConfigs
  from labml_nn.transformers.primer_ez import SquaredReLU
label_desc: Use image node_id 1 for calling a global function with example usage: _squared_relu() and returns: SquaredReLU